Experienced in Java
JavaScript
SQL
and 1 other programming language. Experienced with Version Control Systems (SVN
Git)
Flutter and Ionic. Spring & spring boot is an advantage.
Experienced in Java
JavaScript
SQL
and 1 other programming language. Experienced with Version Control Systems (SVN
Git)
Flutter and Ionic. Spring & Spring boot is an advantage.
We believe in integrity, trust, and transparency as part of our flexible work culture, with a strong emphasis on teamwork and the learning process, making mistakes, and achieving continuous progress together in all products we create and develop within the Mercedes-Benz Group.
Our workplace is anywhere* with a fast connection whether remotely at home, at your favorite café, or at our integrated office at Wisma Mercedes-Benz, which comes with an LRT station at its doorstep, an al fresco cafeteria, ample greenspaces, and free parking.
Catching up with and responding to changes in the external environment that are updated annually (e.g., responding to new versions of iOS/Android OS and policy changes).
Development that focuses on the perspectives of both developers and end users.
HTML/CSS coding for entertainment content (primarily consumer games) and websites
...
Catching up with and responding to changes in the external environment that are updated annually (e.g., responding to new versions of iOS/Android OS and policy changes).
Development that focuses on the perspectives of both developers and end users.
HTML/CSS coding for entertainment content (primarily consumer games) and websites
...
Troubleshoot, debug, optimise, and enhance application performance, reliability, and scalability.
Manage assigned development tasks and deliver project milestones within agreed timelines.
Collaborate closely with Software Engineers, Business Analysts, Technical Specialists, and project stakeholders throughout the Software Development Life Cycle (SDLC).
...
Full Stack EngineeringFrontend: React, Next.js, TypeScript, modern component architectures, state management, real-time and streaming AI interfaces, agent activity and execution interfaces, data visualization.Backend: Node.js, TypeScript, Python, REST APIs, GraphQL, WebSockets and streaming, event-driven architectures, background workers, job queues, distributed systems, authentication and authorization.
Distributed SystemsDesign systems that reliably execute thousands or millions of AI and data-processing tasks. Kubernetes, Docker, Cloud Run and serverless, message queues, Redis, Kafka or equivalent, distributed job processing, concurrency management, rate limiting, retries, idempotency, fault tolerance, observability. You know how to build systems that stay reliable when agents fail, APIs time out, models hallucinate, or downstream services go away.
Data & Learning InfrastructureBuild the infrastructure agents need to learn from historical executions. PostgreSQL, BigQuery or equivalent data warehouses, ClickHouse or analytical databases, vector databases, embeddings, retrieval systems, event logs, feature stores, analytics pipelines, data ingestion.
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